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Papers Containing Keywords(s): 'factory'

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Center for Economic Studies - 26

Longitudinal Research Database - 18

National Science Foundation - 17

Annual Survey of Manufactures - 15

Standard Industrial Classification - 15

Ordinary Least Squares - 14

Total Factor Productivity - 14

Cobb-Douglas - 14

Bureau of Economic Analysis - 13

North American Industry Classification System - 12

Longitudinal Business Database - 11

Census of Manufactures - 11

Census of Manufacturing Firms - 10

Economic Census - 7

Bureau of Labor Statistics - 7

Special Sworn Status - 7

Organization for Economic Cooperation and Development - 6

Federal Reserve Bank - 6

World Bank - 6

National Bureau of Economic Research - 6

American Economic Review - 6

Census Bureau Disclosure Review Board - 5

International Standard Industrial Classification - 5

World Trade Organization - 5

Metropolitan Statistical Area - 5

Longitudinal Firm Trade Transactions Database - 4

University of Chicago - 4

Business Register - 4

Survey of Manufacturing Technology - 4

Current Population Survey - 4

Columbia University - 4

Commodity Flow Survey - 4

Chicago Census Research Data Center - 4

Journal of Political Economy - 4

Review of Economics and Statistics - 4

Value Added - 3

Harvard University - 3

Business Research and Development and Innovation Survey - 3

Standard Statistical Establishment List - 3

Department of Economics - 3

Foreign Direct Investment - 3

Decennial Census - 3

TFPQ - 3

Environmental Protection Agency - 3

North American Industry Classi - 3

Computer Aided Design - 3

New England County Metropolitan - 3

Heckscher-Ohlin - 3

Quarterly Journal of Economics - 3

production - 37

manufacturing - 34

industrial - 26

growth - 23

econometric - 20

manufacturer - 17

produce - 16

labor - 14

sector - 14

technological - 13

expenditure - 13

export - 12

economist - 11

demand - 11

macroeconomic - 10

factor productivity - 10

technology - 10

spillover - 9

investment - 9

economically - 9

estimating - 8

innovation - 8

multinational - 8

efficiency - 8

market - 8

growth productivity - 7

enterprise - 7

productivity growth - 7

plant productivity - 7

specialization - 6

import - 6

merger - 6

endogeneity - 6

industry productivity - 6

consumption - 6

econometrician - 6

productivity plants - 6

company - 5

endogenous - 5

producing - 5

sectoral - 5

tariff - 5

supplier - 5

productive - 5

gdp - 5

organizational - 5

employ - 5

product - 5

estimation - 4

productivity dynamics - 4

development - 4

monopolistic - 4

regional - 4

country - 4

outsourcing - 4

outsourced - 4

acquisition - 4

externality - 4

exporter - 4

wholesale - 4

technical - 4

labor productivity - 4

agriculture - 4

productivity dispersion - 4

patent - 4

plants industry - 4

plants industries - 4

heterogeneity - 4

textile - 4

invention - 3

rates productivity - 3

innovate - 3

innovating - 3

monopolistically - 3

cost - 3

depreciation - 3

profit - 3

establishment - 3

exporting - 3

exported - 3

sale - 3

tech - 3

sourcing - 3

quantity - 3

productivity measures - 3

measures productivity - 3

productivity size - 3

revenue - 3

emission - 3

commodity - 3

fuel - 3

substitute - 3

price - 3

industries estimate - 3

labor markets - 3

disparity - 3

estimates productivity - 3

industry concentration - 3

industry variation - 3

conglomerate - 3

inventory - 3

regression - 3

manufacturing industries - 3

industrialized - 3

exogenous - 3

Viewing papers 21 through 30 of 51


  • Working Paper

    Evaluating the Impact of MEP Services on Establishment Performance: A Preliminary Empirical Investigation

    July 2012

    Working Paper Number:

    CES-12-15

    This work examines the impact of manufacturing extension services on establishment productivity. It builds on an earlier study conducted by Jarmin in the 1990s, by matching the Census of Manufacturers (CMF) with the Manufacturing Extension Partnership (MEP) customer and activity datasets to generate treatment and comparison groups for analysis. The scope of the study is the period 1997 to 2002, which was a period of economic downturn in the manufacturing sector and budgetary challenges for the MEP. The paper presents some preliminary findings from this analysis. Both lagged dependent variable (LDV) and difference in difference (DiD) models are employed to estimate the relationship between manufacturing extension and labor productivity. The results presented are inconclusive and paint a mixed picture as they demonstrate the benefits and limitations of using Census microdata in program evaluation. They also point to the need to conduct analyses that could help to better understand the dynamic impact of MEP services.
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  • Working Paper

    An Alternative Theory of the Plant Size Distribution with an Application to Trade

    May 2010

    Working Paper Number:

    CES-10-10

    There is wide variation in the sizes of manufacturing plants, even within the most narrowly defined industry classifications used by statistical agencies. Standard theories attribute all such size differences to productivity differences. This paper develops an alternative theory in which industries are made up of large plants producing standardized goods and small plants making custom or specialty goods. It uses confidential Census data to estimate the parameters of the model, including estimates of plant counts in the standardized and specialty segments by industry. The estimated model fits the data relatively well compared with estimates based on standard approaches. In particular, the predictions of the model for the impacts of a surge in imports from China are consistent with what happened to U.S. manufacturing industries that experienced such a surge over the period 1997'2007. Large-scale standardized plants were decimated, while small-scale specialty plants were relatively less impacted.
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  • Working Paper

    Why Do Firms Own Production Chains?

    September 2009

    Working Paper Number:

    CES-09-31

    Many firms own links of production chains--i.e., they own both upstream and downstream plants in vertically linked industries. We use broad-based yet detailed data from the economy's goods-producing sectors to investigate the reasons for such vertical ownership. It does not appear that vertical ownership is usually used to facilitate transfers of goods along the production chain, as is often presumed. Shipments from firms' upstream units to their downstream units are surprisingly low, relative to both the firms' total upstream production and their downstream needs. Roughly one-third of upstream plants report no shipments to their firms' downstream units. Half ship less than three percent of their output internally. We do find that manufacturing plants in vertical ownership structures have high measures of 'type' (productivity, size, and capital intensity). These patterns primarily reflect selective sorting of high plant types into large firms; once we account for firm size, vertical structure per se matters much less. We propose an alternative explanation for vertical ownership that is consistent with these results. Namely, that rather than moderating goods transfers down production chains, it instead allows more efficient transfers of intangible inputs (e.g., managerial oversight) within the firm. We document some suggestive evidence of this mechanism.
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  • Working Paper

    Testing for Factor Price Equality in the Presence of Unobserved Factor Quality Diferences

    August 2009

    Working Paper Number:

    CES-09-22

    We develop a method for identifying departures from relative factor price equality across regions that is valid under general assumptions about production, markets and factors. Application of this method to the United States reveals substantial and increasing deviations in relative skilled wages across labor markets in both 1972 and 1992. These deviations vary systematically with labor markets .industry structure both in the cross section and over time.
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  • Working Paper

    Firms' Exporting Behavior under Quality Constraints

    May 2009

    Working Paper Number:

    CES-09-13

    We develop a model of international trade with export quality requirements and two dimensions of firm heterogeneity. In addition to "productivity", firms are also heterogeneous in their "caliber" {the ability to produce quality using fewer fixed inputs. Compared to singleattribute models of firm heterogeneity emphasizing either productivity or the ability to produce quality, our model provides a more nuanced characterization of firms' exporting behavior. In particular, it explains the empirical fact that firm size is not monotonically related with export status: there are small firms that export and large firms that only operate in the domestic market. The model also delivers novel testable predictions. Conditional on size, exporters are predicted to sell products of higher quality and at higher prices, pay higher wages and use capital more intensively. These predictions, although apparently intuitive, cannot be derived from singleattribute models of firm heterogeneity as they imply no variation in export status after size is controlled for. We find strong support for the predictions of our model in manufacturing establishment datasets for India, the U.S., Chile, and Colombia.
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  • Working Paper

    Misallocation and Manufacturing TFP in China and India

    February 2009

    Working Paper Number:

    CES-09-04

    Resource misallocation can lower aggregate total factor productivity (TFP). We use micro data on manufacturing establishments to quantify the potential extent of misallocation in China and India compared to the U.S. Compared to the U.S., we measure sizable gaps in marginal products of labor and capital across plants within narrowly-defined industries in China and India. When capital and labor are hypothetically reallocated to equalize marginal products to the extent observed in the U.S., we calculate manufacturing TFP gains of 30-50% in China and 40-60% in India.
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  • Working Paper

    Technological Leadership and Late Development: Evidence from Meiji Japan, 1868-1912

    December 2007

    Authors: John Tang

    Working Paper Number:

    CES-07-32R

    Large family-owned conglomerates known as zaibatsu have long been credited with leading Japanese industrialization during the Meiji Period (1868-1912), despite a lack of empirical analysis. Using a new dataset collected from corporate genealogies estimate of entry probabilities, I find that characteristics associated with zaibatsu increase a firm's likelihood of being an industry pioneer. In particular, first entry probabilities increase with industry diversification and private ownership, which may provide internal financing and risk-sharing, respectively. Nevertheless, the costs of excessive diversification may deter additional pioneering, which may account for the loss of zaibatsu technological leadership by the turn of the century.
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  • Working Paper

    What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns

    April 2007

    Working Paper Number:

    CES-07-13

    Many industries are geographically concentrated. Many mechanisms that could account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of coagglomeration and use data from the Census Bureau's Longitudinal Research Database from 1972 to 1997 to compute pairwise coagglomeration measurements for U.S. manufacturing industries. Industry attributes are used to construct measures of the relevance of each of Marshall's three theories of industry agglomeration to each industry pair: (1) agglomeration saves transport costs by proximity to input suppliers or final consumers, (2) agglomeration allows for labor market pooling, and (3) agglomeration facilitates intellectual spillovers. We assess the importance of the theories via regressions of coagglomeration indices on these measures. Data on characteristics of corresponding industries in the United Kingdom are used as instruments. We find evidence to support each mechanism. Our results suggest that input-output dependencies are the most important factor, followed by labor pooling.
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  • Working Paper

    Mergers and Acquisitions, Employment, Wages and Plant Closures in the U.S. Meat Product Industries: Evidence from Micro Data

    March 2007

    Working Paper Number:

    CES-07-08

    The purpose of this paper is to evaluate the impact of mergers and acquisitions (M&As) on wages and employment and plant closures in the meat packing, prepared meat products, and poultry slaughter and processing industries over 1977-87 and 1982-92. The analysis relies on a balanced panel dataset of all plants owned by meat and poultry firms that existed over 1977-87 or 1982-92. We find that (1) M&As are positively associated with wages in the meat packing and prepared meat products industries over 1977-87, but not over 1982-92; (2) changes in employment are positively related to M&As in all three meat and poultry industries over 1977-87, but only in the poultry industry over 1982-92; and (3) M&As are negatively associated with plant closures.
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  • Working Paper

    Soft and Hard Within- and Between-Industry Changes of U.S. Skill Intensity: Shedding Light on Worker's Inequality

    January 2006

    Working Paper Number:

    CES-06-01

    In order to examine the worsening of inequality between workers of different skill levels over the past three decades and to further motivate the theoretical discussion on this issue, we use the decomposition methodology to focus on the interaction of within- and between-industry changes of the relative skill intensity in U.S. manufacturing. Unlike previous work, we use more detailed levels of industry classification (5-digit SIC product codes), and we analyze the impact of plants switching industries as well as of plant births and deaths on these changes. Internal, plant-level data from the U.S. Census Bureau's Longitudinal Research Database and the new Longitudinal Business Database provide us with the requisite information to conduct these studies. Finally, our empirical conclusions are discussed in relation to the inspired theoretical inference, as they enrich the debate concerning the sources of the inequality by justifying the skill-biased character of technical change.
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